CN107465579B - Port performance statistical system - Google Patents
Port performance statistical system Download PDFInfo
- Publication number
- CN107465579B CN107465579B CN201710866171.6A CN201710866171A CN107465579B CN 107465579 B CN107465579 B CN 107465579B CN 201710866171 A CN201710866171 A CN 201710866171A CN 107465579 B CN107465579 B CN 107465579B
- Authority
- CN
- China
- Prior art keywords
- target port
- port
- performance
- queue
- performance statistics
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012545 processing Methods 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 11
- 238000012544 monitoring process Methods 0.000 claims description 7
- 230000006870 function Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 3
- 238000004883 computer application Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 102100020760 Ferritin heavy chain Human genes 0.000 description 1
- 101001002987 Homo sapiens Ferritin heavy chain Proteins 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000007334 memory performance Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0852—Delays
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
Abstract
The invention discloses a port performance statistical system, which comprises: user layer, platform interface layer and performance statistics module, the platform interface layer is connected with user layer and performance statistics module respectively, wherein: the platform interface layer is used for obtaining a first time value of each IO to a target port and entering a queue; determining the current number of IOs in the queue when the IO is allocated to the thread; obtaining a second moment value of each IO leaving the target port after the IO is processed by the storage terminal; determining each time delay; sending each time delay and the current number of IO to a performance statistics module; the performance statistic module is used for counting the port performance of the target port, and the port performance comprises the following steps: average latency of the target port; number of IO real-time in queue. By applying the port performance statistical system provided by the embodiment of the invention, the port performance of the target port is counted in the platform interface layer and the performance statistical module, so that the load pressure of the driving layer is reduced, the statistics is simple, and the statistical result is more accurate.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to a port performance statistical system.
Background
With the development of computer application technology, the storage end as a data storage carrier in the big data era has also been rapidly developed. Memory performance is an important embodying aspect of the memory end. The storage performance includes various indexes such as a port, a logical unit number lun, a drive, and the like. The port is a channel for data to enter and exit from the storage end, and the performance of the port directly determines the access speed and the storage performance of the storage end. The port delay and the real-time number of IO in the port queue, i.e., the queue depth of the port, are two important indexes for embodying the port performance.
In the prior art, a system for directly counting port delay and IO real-time number in a queue of a port in a driver layer is mostly adopted. The statistical system has certain defects, such as large load pressure of a driving layer, complex statistics and inaccurate statistical result.
Disclosure of Invention
In order to solve the technical problems, the invention provides the following technical scheme:
a port performance statistics system comprises a user layer, a platform interface layer and a performance statistics module, wherein the platform interface layer is respectively connected with the user layer and the performance statistics module, and the performance statistics module comprises:
the platform interface layer is used for acquiring a first time value of each IO from the user layer reaching the target port and entering a queue of the target port in the process of monitoring the target port; determining the current number of IOs in the queue of the target port when the IO is distributed to the thread, and controlling the target port to send each IO in the queue of the target port to a storage terminal for processing; obtaining a second moment value when each IO leaves the target port when the storage terminal sends each processed IO to the user layer through the target port; determining the time delay of each IO in the target port according to the first time value and the second time value of each IO; sending the determined time delay of each IO and the current number of the IOs to the performance statistics module;
the performance statistics module is configured to count port performance of the target port to obtain a performance statistics result, where the port performance includes: determining the average time delay of the target port according to the time delay of each IO and the current number of the IOs; and obtaining the IO real-time number in the queue of the target port through the platform interface layer.
In one embodiment of the present invention,
the performance statistics module is further configured to store the received time delay of each IO.
In one embodiment of the present invention,
the performance statistics module is further configured to clear the saved time delay of each IO after the port performance of the target port is counted and a performance statistics result is obtained.
In one embodiment of the present invention,
and the platform interface layer is also used for increasing the recorded IO number in the queue of the target port when detecting that IO enters the queue of the target port.
In one embodiment of the present invention,
and the platform interface layer is further used for reducing the recorded IO number in the queue of the target port when detecting that IO leaves the queue of the target port.
In one embodiment of the present invention,
the performance statistics module is further configured to determine whether a node where the target port is located is a configuration node after port performance of the target port is counted and a performance statistics result is obtained; and if not, sending the performance statistical result to a configuration node connected with the node where the target port is located, so that a user can check the performance statistical result on the configuration node.
In one embodiment of the present invention,
the platform interface layer is also used for maintaining the drive of each interface and the bus of the system.
In one embodiment of the present invention,
the performance statistics module is specifically configured to, when a set time interval is reached, count the port performance of the target port, and obtain a performance statistics result in the time interval.
By applying the port performance statistical system provided by the embodiment of the invention, in the process of monitoring the target port through the platform interface layer, obtaining a first time value of each IO from a user layer reaching a target port and entering a queue of the target port, determining the current number of IOs in the queue of the target port when the IO is allocated to a thread, and controlling the target port to send each IO in the queue of the target port to the storage terminal for processing, obtaining a second time value when each IO leaves the target port when the storage terminal sends each processed IO to the user layer through the target port, determining the time delay of each IO in the target port according to the first time value and the second time value of each IO, sending the determined time delay of each IO and the current number of the IOs to the performance statistics module, counting the port performance of the target port by the performance statistics module, and obtaining a performance statistics result, wherein the port performance comprises: and determining the average time delay of the target port according to the time delay of each IO and the current number of the IOs, and obtaining the real-time number of the IOs in the queue of the target port through the platform interface layer. The time delay of the target port for each IO is firstly counted in the platform interface layer, the current number of the IOs in the queue of the target port when the IO is distributed to the threads is counted, the average time delay of the target port is determined in the performance counting module, the load pressure of the driving layer is reduced, counting is simple, and the counting result is more accurate.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a port performance statistics system according to an embodiment of the present invention;
fig. 2 is another schematic structural diagram of a port performance statistics system according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic structural diagram of a port performance statistics system according to an embodiment of the present invention. The system may include:
the system comprises a user layer 1, a platform interface layer 2 and a performance statistics module 3, wherein the platform interface layer 2 is respectively connected with the user layer 1 and the performance statistics module 3.
The platform interface layer 2 is used for acquiring a first time value of each IO from the user layer 1 reaching a target port and entering a queue of the target port in the process of monitoring the target port; determining the current number of IOs in the queue of the target port when the threads are distributed, and controlling the target port to send each IO in the queue of the target port to a storage terminal for processing; obtaining a second moment value when each IO leaves the target port when the storage terminal sends each processed IO to the user layer 1 through the target port; determining the time delay of each IO in the target port according to the first time value and the second time value of each IO; sending the determined time delay of each IO and the current number of the IOs to a performance statistics module 3;
the performance statistics module 3 is configured to count port performance of the target port, and obtain a performance statistics result, where the port performance includes: determining the average time delay of the target port according to the time delay of each IO and the current number of the IOs; and obtaining the IO real-time number in the queue of the target port through the platform interface layer 2.
The port performance statistical system provided by the embodiment of the invention comprises a user layer 1(HOST), a platform interface layer 2(PLIF) and a performance statistical module 3(ST), wherein the platform interface layer 2 is respectively connected with the user layer 1 and the performance statistical module 3. The user layer 1 may issue unprocessed IO and receive processed IO, and the platform interface layer 2 may manage operations of receiving, issuing, and the like of each port. In the process of monitoring the target port, the platform interface layer 2 obtains the time t of the current system when each IO from the user layer 1 reaches the target port and enters the queue of the target port1That is, the first time value, determining the current number of IO in the queue of the target port when the IO is allocated to the thread, controlling the target port to send each IO in the queue of the target port to the storage terminal for processing, calling the callback function to obtain the time t of the current system when each IO leaves the target port in the process that the storage terminal sends each IO after processing to the user layer 1 through the target port2I.e. the second time value, determining the time delay of each IO in the target port according to the first time value and the second time value of each IO, where Δ t is t2-t1And the unit is ms, and the determined time delay of each IO and the current number of the IOs are sent to the performance statistics module 3.
The performance statistics module 3 may perform statistics on the port performance of the target port to obtain a performance statistics result, where the port performance includes: and accumulating and counting the time delay of each IO according to the time delay of each IO and the current number of the IOs, namely the queue depth of the target port to obtain the total time delay, and dividing the total time delay by the current number of the IOs so as to determine the average time delay of the target port. And obtaining the IO real-time number in the queue of the target port by calling the function of the platform interface layer 2.
The target port may be any port on which performance statistics are to be performed, such as a fiber port FC to be detected.
The IO delay refers to a difference between the time when the IO is issued from the user layer 1 to the target port and the time when the IO leaves from the target port after the IO is processed by the storage terminal. The time delay of the target port can directly reflect the IO processing speed of the storage terminal.
When the IO reaches the target port, the IO is in a concurrent mode, that is, the IO sent by the user layer 1 enters the queue of the target port first when reaching the target port, waits for the scheduling of the system thread for sending, and sends the IO in the queue of the target port only when being allocated to the thread. Therefore, the IO in the queue of the target port is dynamically changed, and the busy degree and the processing capacity of the current system can be reflected from the side according to the number of the IO in the queue.
Because the corresponding ID is used as the identifier in the same IO, for an IO issued by the user layer 1, the queue entering the target port from the target port is sent to the storage end for processing, and then the queue returns to the user layer 1 from the target port.
By applying the port performance statistical system provided by the embodiment of the invention, in the process of monitoring the target port through the platform interface layer, obtaining a first time value of each IO from a user layer reaching a target port and entering a queue of the target port, determining the current number of IOs in the queue of the target port when the IO is allocated to a thread, and controlling the target port to send each IO in the queue of the target port to the storage terminal for processing, obtaining a second time value when each IO leaves the target port when the storage terminal sends each processed IO to the user layer through the target port, determining the time delay of each IO in the target port according to the first time value and the second time value of each IO, sending the determined time delay of each IO and the current number of the IOs to the performance statistics module, counting the port performance of the target port by the performance statistics module, and obtaining a performance statistics result, wherein the port performance comprises: and determining the average time delay of the target port according to the time delay of each IO and the current number of the IOs, and obtaining the real-time number of the IOs in the queue of the target port through the platform interface layer. The time delay of the target port for each IO is firstly counted in the platform interface layer, the current number of the IOs in the queue of the target port when the IO is distributed to the threads is counted, the average time delay of the target port is determined in the performance counting module, the load pressure of the driving layer is reduced, counting is simple, and the counting result is more accurate.
In a specific embodiment of the present invention, the performance statistics module 3 is further configured to store the received time delay of each IO.
After the performance statistics module 3 receives the delay of each IO sent by the platform interface layer 2, the received delay of each IO can be saved, and the delay of each IO is prevented from being lost.
In a specific embodiment of the present invention, the performance statistics module 3 is further configured to zero the saved time delay of each IO after performing statistics on the port performance of the target port and obtaining the performance statistics result.
In the embodiment, the performance statistics module 3 may zero the saved time delay of each IO after performing statistics on the port performance of the target port and obtaining the performance statistics result, so as to ensure the accuracy of the next statistics.
In a specific embodiment of the present invention, the platform interface layer 2 is further configured to increase the number of recorded IOs in the queue of the target port when detecting that an IO enters the queue of the target port.
When detecting that an IO enters the queue of the target port, the platform interface layer 2 increases the number of recorded IOs in the queue of the target port to ensure the consistency of the obtained number of IOs and the actual number of IOs in the queue of the target port.
In a specific embodiment of the present invention, the platform interface layer 2 is further configured to reduce the number of recorded IOs in the queue of the target port when detecting that an IO leaves the queue of the target port.
When detecting that there is an IO leaving the queue of the target port, that is, when the platform interface layer 2 controls the target port to send each IO in the queue of the target port to the storage terminal for processing, the platform interface layer 2 may reduce the number of recorded IOs in the queue of the target port, and also ensure the consistency between the obtained number of IOs and the actual number of IOs in the queue of the target port.
In a specific embodiment of the present invention, the performance statistics module 3 is further configured to determine whether a node where the target port is located is a configuration node after the port performance of the target port is counted and a performance statistics result is obtained; and if not, sending the performance statistical result to a configuration node connected with the node where the target port is located so that a user can check the performance statistical result on the configuration node.
After the performance statistics module 3 counts the port performance of the target port and obtains the performance statistics result, because the user can only check the performance statistics result on the configuration node, it needs to determine whether the node where the target port is located is the configuration node, if so, it indicates that the user can check the performance statistics result on the node where the target port is located, and if not, the performance statistics result is sent to the configuration node connected to the node where the target port is located, so that the user can check the performance statistics result on the configuration node. And the performance statistics module is adopted to facilitate data management in the process of sending the performance statistics result from the non-configuration node to the configuration node.
In an embodiment of the present invention, the platform interface layer 2 is further used for maintaining the drivers of the interfaces and buses of the system.
The platform interface layer 2 can manage the operations of receiving and sending of each interface, and can maintain the drive of each interface and the bus of the system.
In an embodiment of the present invention, the performance statistics module 3 is specifically configured to, when a set time interval is reached, count the port performance of the target port, and obtain a performance statistics result in the time interval.
The performance statistics module 3 may count the port performance of the target port when a preset time interval is reached, and obtain a performance statistics result in the preset time interval. For example, a timer function in the performance statistics module is started, each time the timer function is triggered once when a set time interval is reached, each time delay received in one set time interval is accumulated to obtain a total time delay, the total time delay is divided by the number of IO corresponding to the time delay in the time interval to obtain the average time delay of each IO, and the real-time number of IO in the target port queue is obtained by calling a function of the platform interface layer 2. Thereby obtaining performance statistics over the time interval.
It should be noted that, in the embodiment of the present invention, the setting of the time interval is not limited, and for example, the time interval may be set to 5 seconds.
An embodiment of the present invention will be described in detail with reference to fig. 2 as an example. The user layer 1 can issue unprocessed IOs through the ports, and each IO enters the queue of the port after reaching the port. The platform interface layer 2 can obtain the time t of the current system when each IO from the user layer 1 reaches the port and enters the queue of the port in the process of monitoring the port1That is, the first time value, when the threads are allocated, the current number of the IO in the queue of the port is determined, the port is controlled to send each IO in the queue of the port to the storage end for processing, the callback function in the driver layer 5 is called to obtain the time t of the current system when each IO leaves the port in the process that the storage end sends each IO after processing to the user layer 1 through the port2I.e. the second time value, determining the time delay of each IO in the port according to the first time value and the second time value of each IO, Δ t ═ t2-t1And the unit is ms, and the determined two performance indexes of the time delay of each IO and the current number of the IOs are sent to the performance statistics module 3.
The performance statistics module 3 may perform statistics on port performance of the port to obtain performance statistics results, where the port performance includes: and according to the time delay of each IO and the current number of the IOs, namely the queue depth of the port, accumulating and counting the time delay of each IO to obtain the total time delay, dividing the total time delay by the current number of the IOs to determine the average time delay of the port, and calling a function of a platform interface layer 2 to obtain the real-time number of the IOs in the queue of the port.
The dotted line in fig. 2 is the performance statistics of the port queried by the user through the configuration node. After the performance statistics module 3 counts the port performance of the port and obtains the performance statistics result, because the user needs to perform performance statistics result checking on the configuration node, the left and right symmetrical two parts in the graph are the configuration node, and the right is the non-configuration node, when the user requests to check the performance statistics result obtained by the performance statistics module 3 in the right non-configuration node, the right non-configuration node needs to send the performance statistics result to the left configuration node, and the user can obtain the performance statistics result by calling the function in the protocol layer 4. When a user requests to view the performance statistics module 3 in the left configuration node to obtain the performance statistics result, the function in the protocol layer 4 may be directly called to obtain the performance statistics result.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The principle and the implementation of the present invention are explained in the present application by using specific examples, and the above description of the embodiments is only used to help understanding the technical solution and the core idea of the present invention. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (8)
1. A port performance statistics system, comprising a user layer, a platform interface layer and a performance statistics module, wherein the platform interface layer is connected with the user layer and the performance statistics module respectively, wherein:
the platform interface layer is used for acquiring a first time value of each IO from the user layer reaching the target port and entering a queue of the target port in the process of monitoring the target port; determining the current number of IOs in the queue of the target port when the IO is distributed to the thread, and controlling the target port to send each IO in the queue of the target port to a storage terminal for processing; obtaining a second moment value when each IO leaves the target port when the storage terminal sends each processed IO to the user layer through the target port; determining the time delay of each IO in the target port according to the first time value and the second time value of each IO; sending the determined time delay of each IO and the current number of the IOs to the performance statistics module;
the performance statistics module is configured to count port performance of the target port to obtain a performance statistics result, where the port performance includes: determining the average time delay of the target port according to the time delay of each IO and the current number of the IOs; and obtaining the current number of IOs in the queue of the target port through the platform interface layer.
2. The system of claim 1,
the performance statistics module is further configured to store the received time delay of each IO.
3. The system of claim 2,
the performance statistics module is further configured to clear the saved time delay of each IO after the port performance of the target port is counted and a performance statistics result is obtained.
4. The system of claim 1,
and the platform interface layer is also used for increasing the recorded IO number in the queue of the target port when detecting that IO enters the queue of the target port.
5. The system of claim 4,
and the platform interface layer is further used for reducing the recorded IO number in the queue of the target port when detecting that IO leaves the queue of the target port.
6. The system according to any one of claims 1 to 5,
the performance statistics module is further configured to determine whether a node where the target port is located is a configuration node after port performance of the target port is counted and a performance statistics result is obtained; and if not, sending the performance statistical result to a configuration node connected with the node where the target port is located, so that a user can check the performance statistical result on the configuration node.
7. The system of claim 6,
the platform interface layer is also used for maintaining the drive of each interface and the bus of the system.
8. The system of claim 7,
the performance statistics module is specifically configured to, when a set time interval is reached, count the port performance of the target port, and obtain a performance statistics result in the time interval.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710866171.6A CN107465579B (en) | 2017-09-22 | 2017-09-22 | Port performance statistical system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710866171.6A CN107465579B (en) | 2017-09-22 | 2017-09-22 | Port performance statistical system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107465579A CN107465579A (en) | 2017-12-12 |
| CN107465579B true CN107465579B (en) | 2021-03-09 |
Family
ID=60553546
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710866171.6A Active CN107465579B (en) | 2017-09-22 | 2017-09-22 | Port performance statistical system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107465579B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109445996B (en) * | 2018-11-09 | 2022-02-18 | 郑州云海信息技术有限公司 | Method, system and related assembly for distributing IO stream |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103744613A (en) * | 2013-12-17 | 2014-04-23 | 记忆科技(深圳)有限公司 | I/O writing delay reducing system and method |
| CN105792236A (en) * | 2014-12-26 | 2016-07-20 | 中兴通讯股份有限公司 | Delay acquisition method and device, baseband unit and communication system |
| CN106354590A (en) * | 2015-07-17 | 2017-01-25 | 中兴通讯股份有限公司 | Method and apparatus for disk detection |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9063669B2 (en) * | 2013-04-09 | 2015-06-23 | International Business Machines Corporation | Self-detecting storage bottleneck while handling sequential I/O operations |
-
2017
- 2017-09-22 CN CN201710866171.6A patent/CN107465579B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103744613A (en) * | 2013-12-17 | 2014-04-23 | 记忆科技(深圳)有限公司 | I/O writing delay reducing system and method |
| CN105792236A (en) * | 2014-12-26 | 2016-07-20 | 中兴通讯股份有限公司 | Delay acquisition method and device, baseband unit and communication system |
| CN106354590A (en) * | 2015-07-17 | 2017-01-25 | 中兴通讯股份有限公司 | Method and apparatus for disk detection |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107465579A (en) | 2017-12-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3335120B1 (en) | Method and system for resource scheduling | |
| CN109522176B (en) | Monitoring method and device of storage system, electronic equipment and storage medium | |
| US20110002345A1 (en) | Method and apparatus for dequeuing data | |
| CN107347039B (en) | Management method and device for shared cache space | |
| CN108874324B (en) | Access request processing method, device, equipment and readable storage medium | |
| CN108958975B (en) | Method, device and equipment for controlling data recovery speed | |
| WO2019174391A1 (en) | Method and apparatus for controlling data stream in storage device, storage device, and storage medium | |
| CN107465579B (en) | Port performance statistical system | |
| EP2940600A1 (en) | Data scanning method and device | |
| CN109062514B (en) | Bandwidth control method and device based on namespace and storage medium | |
| CN109144796B (en) | Method, system and device for testing performance of storage system and server | |
| EP3076295A1 (en) | System resource balance adjustment method and device | |
| CN107102822B (en) | Data write-back method and device | |
| CN109726151B (en) | Method, apparatus, and medium for managing input-output stack | |
| CN108512673B (en) | Cloud service quality monitoring method and device and server | |
| CN115314439B (en) | Flow control method and related device for data storage IO request | |
| CN108804152B (en) | Method and device for adjusting configuration parameters | |
| CN116841458A (en) | Memory read-write control method, system, terminal and storage medium | |
| CN107704421B (en) | Multi-core processor and message processing method | |
| CN109408302B (en) | Fault detection method and device and electronic equipment | |
| US20170269864A1 (en) | Storage Array Operation Method and Apparatus | |
| CN114443274A (en) | Method, device and readable storage medium for adjusting thread number in micro-service thread pool | |
| CN111190728B (en) | Resource adjustment method and device | |
| CN110727518B (en) | Data processing method and related equipment | |
| CN109039952B (en) | Mobile terminal, limiting method for interprocess communication of mobile terminal and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210219 Address after: Building 9, No.1, guanpu Road, Guoxiang street, Wuzhong Economic Development Zone, Wuzhong District, Suzhou City, Jiangsu Province Applicant after: SUZHOU LANGCHAO INTELLIGENT TECHNOLOGY Co.,Ltd. Address before: Room 1601, floor 16, 278 Xinyi Road, Zhengdong New District, Zhengzhou City, Henan Province Applicant before: ZHENGZHOU YUNHAI INFORMATION TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |